Yum Brands (YUM) Price to FCF (2009 - 2026)
Yum Brands' (YUM) quarterly Price to FCF came in at 107.19 in Q2 2026, down 2.26% on a YoY basis from 109.67 in Q2 2025, and down 14.71% quarter-over-quarter from 125.67 in Q1 2026.
Yum Brands (YUM) Price to FCF (2009 - 2026) Analysis & Trends
Yum Brands (YUM) has reported Price to FCF for 18 consecutive years, with 107.19 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to FCF fell 2.26% year-over-year to 107.19; the trailing twelve-month figure through Jun 2026 stood at 25.98 (down 3.08% YoY), and the FY2025 full-year result was 25.51, down 2.42% from the prior year.
- Price to FCF eased to 107.19 in Q2 2026 per YUM's latest filing, from 125.67 in the prior quarter.
- Across five years, Price to FCF topped out at 160.19 in Q1 2022 and bottomed at 76.42 in Q3 2022.
- Historically, Price to FCF has averaged 113.98 across 5 years, with a median of 109.03 in 2022.
- The sharpest annual moves came in 2022 and 2023: Price to FCF jumped 81.96% in 2022, then retreated 19.53% in 2023.
- Over 5 years, Price to FCF stood at 108.39 in 2022, then fell by 0.83% to 107.48 in 2023, then fell by 14.4% to 92.0 in 2024, then slipped by 5.7% to 86.76 in 2025, then gained by 23.55% to 107.19 in 2026.
- According to Business Quant data, Price to FCF over the past three periods registered 107.19, 125.67, and 86.76 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.19 |
| Mar 31, 2026 | 125.67 |
| Dec 31, 2025 | 86.76 |
| Sep 30, 2025 | 93.99 |
| Jun 30, 2025 | 109.67 |
| Mar 31, 2025 | 131.35 |
| Dec 31, 2024 | 92.00 |
| Sep 30, 2024 | 93.05 |
| Jun 30, 2024 | 127.54 |
| Mar 31, 2024 | 124.36 |
| Dec 31, 2023 | 107.48 |
| Sep 30, 2023 | 83.39 |
| Jun 30, 2023 | 144.32 |
| Mar 31, 2023 | 128.90 |
| Dec 31, 2022 | 108.39 |
| Sep 30, 2022 | 76.42 |
| Jun 30, 2022 | 150.93 |
| Mar 31, 2022 | 160.19 |
| Dec 31, 2021 | 124.62 |
| Sep 30, 2021 | 77.10 |
Yum Brands Price to FCF API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-fcf&ticker=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "ticker": "YUM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-fcf&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();